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Development of a rapid knee cartilage damage quantification method using magnetic resonance images

BACKGROUND: Cartilage morphometry based on magnetic resonance images (MRIs) is an emerging outcome measure for clinical trials among patients with knee osteoarthritis (KOA). However, current methods for cartilage morphometry take many hours per knee and require extensive training on the use of the a...

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Autores principales: Zhang, Ming, Driban, Jeffrey B, Price, Lori Lyn, Harper, Daniel, Lo, Grace H, Miller, Eric, Ward, Robert J, McAlindon, Timothy E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126278/
https://www.ncbi.nlm.nih.gov/pubmed/25098589
http://dx.doi.org/10.1186/1471-2474-15-264
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author Zhang, Ming
Driban, Jeffrey B
Price, Lori Lyn
Harper, Daniel
Lo, Grace H
Miller, Eric
Ward, Robert J
McAlindon, Timothy E
author_facet Zhang, Ming
Driban, Jeffrey B
Price, Lori Lyn
Harper, Daniel
Lo, Grace H
Miller, Eric
Ward, Robert J
McAlindon, Timothy E
author_sort Zhang, Ming
collection PubMed
description BACKGROUND: Cartilage morphometry based on magnetic resonance images (MRIs) is an emerging outcome measure for clinical trials among patients with knee osteoarthritis (KOA). However, current methods for cartilage morphometry take many hours per knee and require extensive training on the use of the associated software. In this study we tested the feasibility, reliability, and construct validity of a novel osteoarthritis cartilage damage quantification method (Cartilage Damage Index [CDI]) that utilizes informative locations on knee MRIs. METHODS: We selected 102 knee MRIs from the Osteoarthritis Initiative that represented a range of KOA structural severity (Kellgren Lawrence [KL] Grade 0 – 4). We tested the intra- and inter-tester reliability of the CDI and compared the CDI scores against different measures of severity (radiographic joint space narrowing [JSN] grade, KL score, joint space width [JSW]) and static knee alignment, both cross-sectionally and longitudinally. RESULTS: Determination of the CDI took on average14.4 minutes (s.d. 2.1) per knee pair (baseline and follow-up of one knee). Repeatability was good (intra- and inter-tester reliability: intraclass correlation coefficient >0.86). The mean CDI scores related to all four measures of osteoarthritis severity (JSN grade, KL score, JSW, and knee alignment; all p values < 0.05). Baseline JSN grade and knee alignment also predicted subsequent 24-month longitudinal change in the CDI (p trends <0.05). During 24 months, knees with worsening in JSN or KL grade (i.e. progressors) had greater change in CDI score. CONCLUSIONS: The CDI is a novel knee cartilage quantification method that is rapid, reliable, and has construct validity for assessment of medial tibiofemoral osteoarthritis structural severity and its progression. It has the potential to addresses the barriers inherent to studies requiring assessment of cartilage damage on large numbers of knees, and as a biomarker for knee osteoarthritis progression.
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spelling pubmed-41262782014-08-09 Development of a rapid knee cartilage damage quantification method using magnetic resonance images Zhang, Ming Driban, Jeffrey B Price, Lori Lyn Harper, Daniel Lo, Grace H Miller, Eric Ward, Robert J McAlindon, Timothy E BMC Musculoskelet Disord Research Article BACKGROUND: Cartilage morphometry based on magnetic resonance images (MRIs) is an emerging outcome measure for clinical trials among patients with knee osteoarthritis (KOA). However, current methods for cartilage morphometry take many hours per knee and require extensive training on the use of the associated software. In this study we tested the feasibility, reliability, and construct validity of a novel osteoarthritis cartilage damage quantification method (Cartilage Damage Index [CDI]) that utilizes informative locations on knee MRIs. METHODS: We selected 102 knee MRIs from the Osteoarthritis Initiative that represented a range of KOA structural severity (Kellgren Lawrence [KL] Grade 0 – 4). We tested the intra- and inter-tester reliability of the CDI and compared the CDI scores against different measures of severity (radiographic joint space narrowing [JSN] grade, KL score, joint space width [JSW]) and static knee alignment, both cross-sectionally and longitudinally. RESULTS: Determination of the CDI took on average14.4 minutes (s.d. 2.1) per knee pair (baseline and follow-up of one knee). Repeatability was good (intra- and inter-tester reliability: intraclass correlation coefficient >0.86). The mean CDI scores related to all four measures of osteoarthritis severity (JSN grade, KL score, JSW, and knee alignment; all p values < 0.05). Baseline JSN grade and knee alignment also predicted subsequent 24-month longitudinal change in the CDI (p trends <0.05). During 24 months, knees with worsening in JSN or KL grade (i.e. progressors) had greater change in CDI score. CONCLUSIONS: The CDI is a novel knee cartilage quantification method that is rapid, reliable, and has construct validity for assessment of medial tibiofemoral osteoarthritis structural severity and its progression. It has the potential to addresses the barriers inherent to studies requiring assessment of cartilage damage on large numbers of knees, and as a biomarker for knee osteoarthritis progression. BioMed Central 2014-08-06 /pmc/articles/PMC4126278/ /pubmed/25098589 http://dx.doi.org/10.1186/1471-2474-15-264 Text en Copyright © 2014 Zhang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zhang, Ming
Driban, Jeffrey B
Price, Lori Lyn
Harper, Daniel
Lo, Grace H
Miller, Eric
Ward, Robert J
McAlindon, Timothy E
Development of a rapid knee cartilage damage quantification method using magnetic resonance images
title Development of a rapid knee cartilage damage quantification method using magnetic resonance images
title_full Development of a rapid knee cartilage damage quantification method using magnetic resonance images
title_fullStr Development of a rapid knee cartilage damage quantification method using magnetic resonance images
title_full_unstemmed Development of a rapid knee cartilage damage quantification method using magnetic resonance images
title_short Development of a rapid knee cartilage damage quantification method using magnetic resonance images
title_sort development of a rapid knee cartilage damage quantification method using magnetic resonance images
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126278/
https://www.ncbi.nlm.nih.gov/pubmed/25098589
http://dx.doi.org/10.1186/1471-2474-15-264
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